Building AI-Chatbot With ChatGPT API

Building AI-Chatbot With ChatGPT API

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Updated on Jul 18, 2023 11:43 IST

In this article you will learn how to make AI chatbot using ChatGPT API.


Chat GPT is getting a lot of limelight online due to its unique, almost accurate and human-like responses. This article describes how to connect to the ChatGPT API using Python code. And how you can make a chatbot of your own.

Table of contents

What is ChatGPT?

ChatGPT is a chatbot language model developed by OpenAI. This is a GPT-3 language model variant specifically designed for generating conversational speech. ChatGPT is a language model developed by OpenAI specifically designed for natural language processing (NLP) tasks such as text generation and question answering. It is based on the GPT (Generative Pre-trained Transformer) architecture that uses deep learning techniques to generate human-like responses to text input.

 ChatGPT is trained on a large corpus of text data such as books, articles, and websites to learn natural language patterns and structures. It can generate responses to many types of prompts, including chatbot conversations, email messages, and social media posts, with high accuracy and fluency.

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Steps for creating a chatbot using ChatGPT API

1. Register for an API key

To use the ChatGPT API, you’ll need to register for an API key. You can do this by visiting the OpenAI website and following the instructions.

  • Sign in to your OpenAI account on the OpenAI website.
  • Click the View API Key button in the top right corner of the page.
  • Click the Create an API Key button to generate a new API key.

You will get a secret key here. Please save that key, as we will be using that in coding later on.

Additional tip: Save the secret key, as you will not get it again.

NOTE: Never share that secret key with anyone.

2. Download OpenApi Library

It is very simple to download an open API library.Just write

!pip install -q openai
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3. Get started with python code

import os
import openai
openai.api_key = os.getenv("OPENAI_KEY")
openai.api_key = 'sk-'
messages = [
{"role": "system", "content": "You are a kind helpful assistant."},
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4. Writing code to connect with ChatGPT

pip install openai
messages = []
system_msg = input("What type of chatbot would you like to create?\n")
messages.append({"role": "system", "content": system_msg})
print("Your new assistant is ready!")
while input != "quit()":
message = input()
messages.append({"role": "user", "content": message})
response = openai.ChatCompletion.create(
reply = response["choices"][0]["message"]["content"]
messages.append({"role": "assistant", "content": reply})
print("\n" + reply + "\n")
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This code is an example of creating a chatbot using the OpenAI API. It starts by installing the necessary package and asking the user which type of chatbot they want to create. The code then initializes a list called “messages” that will store all conversation history between the user and bot before entering into a while loop that runs until “quit()” is typed in. 

Inside this loop, messages are prompted from users, added to messages with role “user” and sent as whole conversation history for processing via Chat Completion. Create method from OpenAI API; response generated by model gpt-3-turbo (which may incur a cost depending on account settings) is printed back out onto console with role “assistant” assigned in message list too – repeating the process until quit().

Learn how to use ChatGPT for free


Creating an AI chatbot with the ChatGPT API is a surprisingly simple process requiring only a few lines of code. Thanks to the vast data and natural language processing capabilities offered by GPT-3.5, building a chatbot capable of holding meaningful conversations with users has never been easier. 

Following the instructions in this article, anyone can create their own functional bot that will understand and respond to user queries. The possibilities for what these bots can be used for are practically limitless – from customer service agents to virtual assistants – making ChatGPT API an ideal starting point for those looking to get into developing AI chatbots themselves. With its ease of use and impressive features, it’s no wonder why so many people are turning towards using this technology today!

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This is a collection of insightful articles from domain experts in the fields of Cloud Computing, DevOps, AWS, Data Science, Machine Learning, AI, and Natural Language Processing. The range of topics caters to upski... Read Full Bio